Research Intern (AI/LLM Network) - 2026 Start (PhD)

ByteDance; San Jose (CA); On-site; USD 70,257 - 95,054; Part time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

10 paid holidays per year

Paid sick time

Housing allowance

Job summary

ByteDance seeks a Research Intern (AI/LLM Network) for a 2026 start in San Jose. This PhD-level role sits in the Technology team and focuses on designing, implementing and deploying high‑speed network technologies to support AI/LLM applications.

You will develop platforms for monitoring and diagnosing large‑scale AI networks, explore high‑performance communication frameworks, and summarize advances in papers.

Qualifications

• Currently pursuing a PhD in computer networking or related technical discipline.
• Experience with computer networking and network programming.
• Proficiency in C/C++, Python, Go or similar languages.
• Familiar with high-speed network systems including RDMA and AI network optimization.
• Experience with high-performance communication frameworks is a plus.

Responsibilities

• Design, implementation and deployment of high-speed network technologies to support AI/LLM applications.
• Develop platforms/systems for monitoring, analysis and diagnosis of large-scale AI/LLM networks.
• Research and develop high-performance AI communication frameworks and network protocol stacks.
• Review latest technologies and present innovative findings in academic papers.

Skills

Network programming

C/C++

Python

Go

AI/LLM networking

Education

PhD candidate in computer networking

Tools

NCCL

MPI

RPC libraries

Job description

Research Intern (AI/LLM Network) - 2026 Start (PhD)

Location: San Jose

Team: Technology

Employment Type: Intern

Job Code: A223894A

Responsibilities

• Design, implementation and deployment of high-speed network technologies to support AI/LLM applications.
• Design and development of platforms/systems for monitoring, analysis and diagnosis of large scale AI/LLM network.
• Research and development of high-performance AI communication framework, network protocol stacks, and code‑design optimization of host‑network‑application to improve the scalability, reliability and performance of AI/LLM network.
• Follow the latest technologies from academia and industry, identify the innovative parts of the system and present in academic papers.

Qualifications

Minimum Qualifications

• Currently pursuing a PhD in computer networking or a related technical discipline.
• Experience with at least one of the following areas:
• Proficiency in computer network and network programming.
• Proficiency in one or several mainstream programming languages, including C/C++, Python, Go and so on.
• Be familiar with the latest advances in the area of high‑speed network systems, including RDMA, congestion control, AI network optimization and so on.
• Experience in developing high performance communication frameworks (including NCCL, MPI and RPC libraries) is a plus.
• Experience in developing software systems for AI network diagnosis and performance optimization.

Preferred Qualifications

• Be familiar with AI training/inference systems and software‑hardware co‑design.
• Having top tier networking conference publications such as NSDI, SIGCOMM, OSDI, SOSP etc.

Job Information

The hourly rate range for this position in the selected city is $60 - $60.

Benefits

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Legal Statements

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• 3. Exercising sound judgment.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request